Bin Su

7.2k citations
166 papers · 2.5k indexed · h-index 26

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • HIV Research and Treatment 98
    • HIV/AIDS Research and Interventions 44
    • HIV/AIDS drug development and treatment 34
    • SARS-CoV-2 and COVID-19 Research 14

Bin Su

155 papers receiving 2.5k citations

Peers

Bin Su
Comparison fields: 5 of 132
  • Virology 1.1k
  • Infectious Diseases 1.3k
  • Immunology 594
  • Emergency Medicine 214
  • Epidemiology 674
Replace Mary Marovich with:
Mary Marovich United States
Ann Chahroudi United States
Gustavo Reyes‐Terán Mexico
Koen K. A. Van Rompay United States
Debbie van Baarle Netherlands
Anita Desai India
Hans Gaines Sweden
Édouard Tuaillon France
Alejandro Vallejo Spain
Sergio Lo Caputo Italy
Bin Su relative to Mary Marovich United States Mary Marovich's profile →
Citations per field
00.5×1.5×2.4×
Mary Marovich · 1×
Citations per year

Countries citing papers authored by Bin Su

Since Specialization
Citations

This map shows the geographic impact of Bin Su's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Su more than expected).

Fields of papers citing papers by Bin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bin Su. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bin Su. The network helps show where Bin Su may publish in the future.

Co-authors

The 25 scholars most cited alongside Bin Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Su Line = papers co-authored together Bin Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020196
2 2021138
3 2009116
4 202099
5 200999
6 202089
7 200857
8 201355
9 201350
10 201745
11 201445
12 201744
13 202140
14 201940
15 201936
16 202234
17 202031
18 201431
19 201830
20 201430

About Bin Su

Bin Su is a scholar working on Virology, Infectious Diseases, Immunology, Emergency Medicine and General Dentistry, having authored 166 papers that have together received 2.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (98 papers), HIV/AIDS Research and Interventions (44 papers), Immune Cell Function and Interaction (41 papers), HIV/AIDS drug development and treatment (34 papers), T-cell and B-cell Immunology (16 papers), SARS-CoV-2 and COVID-19 Research (14 papers), HIV-related health complications and treatments (12 papers) and Immunotherapy and Immune Responses (10 papers). The work is most often cited by research in Virology (1.1k citations), Infectious Diseases (1.3k citations), Immunology (594 citations), Emergency Medicine (214 citations) and Epidemiology (674 citations). Bin Su has collaborated with scholars based in China, France and United States. Frequent co-authors include Hao Wu, Christiane Moog, Tong Zhang, Tong Zhang, Xin Zhang, Xiaodong Yang, Taiyi Jiang, Luzia Mayr, Jianhua Hou and Béatrice Labrosse. Their work appears in journals such as Frontiers in Immunology, AIDS Research and Human Retroviruses, Journal of Medical Virology, BMC Infectious Diseases and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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